How is NLP used in translation?
NLP, or Natural Language Processing, is crucial in translation as it helps machines understand and generate human language.
Can you give me examples of NLP applications in translation?
Sure! Examples include Google Translate, which uses NLP to analyze and translate text, and translation memory systems that store previously translated segments.
What are the challenges faced by NLP in translation?
Some challenges include handling idiomatic expressions, context understanding, and maintaining the tone and style of the original text.
How does machine learning improve NLP in translation?
Machine learning enhances NLP by allowing models to learn from vast amounts of data, improving accuracy and fluency in translations.
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